scholarly journals Addressing fluorogenic real-time qpcr inhibition using the novel custom excel file system ‘FocusField2-6GallupqPCRSet-upTool-001’ to attain consistently high fidelity qPCR reactions

2006 ◽  
Vol 8 (1) ◽  
pp. 87-153 ◽  
Author(s):  
Jack M. Gallup ◽  
Mark R. Ackermann
Keyword(s):  
Real Time ◽  
File System ◽  
High Fidelity ◽  
The Novel ◽  
Real Time Qpcr ◽  
Excel File

Robust and high fidelity real-time hybrid substructuring

2021 ◽  
Vol 157 ◽  
pp. 107720
Author(s):  
Christina Insam ◽  
Arian Kist ◽  
Henri Schwalm ◽  
Daniel J. Rixen
Keyword(s):  
Real Time ◽  
High Fidelity

scholarly journals Probe-Based Real-Time qPCR Assays for a Reliable Differentiation of Capripox Virus Species

2021 ◽  
Vol 9 (4) ◽  
pp. 765
Author(s):  
Janika Wolff ◽  
Martin Beer ◽  
Bernd Hoffmann
Keyword(s):  
Real Time ◽  
Animal Health ◽  
Diagnostic Methods ◽  
Virus Species ◽  
Time Saving ◽  
Robust Detection ◽  
Highly Sensitive ◽  
Reliable Differentiation ◽  
World Organization ◽  
Real Time Qpcr

Outbreaks of the three capripox virus species, namely lumpy skin disease virus, sheeppox virus, and goatpox virus, severely affect animal health and both national and international economies. Therefore, the World Organization for Animal Health (OIE) classified them as notifiable diseases. Until now, discrimination of capripox virus species was possible by using different conventional PCR protocols. However, more sophisticated probe-based real-time qPCR systems addressing this issue are, to our knowledge, still missing. In the present study, we developed several duplex qPCR assays consisting of different types of fluorescence-labelled probes that are highly sensitive and show a high analytical specificity. Finally, our assays were combined with already published diagnostic methods to a diagnostic workflow that enables time-saving, reliable, and robust detection, differentiation, and characterization of capripox virus isolates.

scholarly journals Increased Delay Discounting on a Novel Real-Time Task among Girls, but not Boys, with ADHD

2015 ◽  
Vol 22 (1) ◽  
pp. 12-23 ◽  
Author(s):  
Keri S. Rosch ◽  
Stewart H. Mostofsky
Keyword(s):  
Real Time ◽  
Delay Discounting ◽  
Diagnostic Group ◽  
Group Differences ◽  
The Novel ◽  
Typically Developing ◽  
Subjective Ratings ◽  
Time Discounting ◽  
Children With Adhd ◽  
Girls With Adhd

AbstractThe aim of this study was to examine delay discounting in girls and boys with ADHD-Combined type (ADHD-C) relative to typically developing (TD) children on two tasks that differ in the extent to which the rewards and delays were experienced by participants. Children ages 8–12 years with ADHD-C (n=65; 19 girls) and TD controls (n=55; 15 girls) completed two delay discounting tasks involving a series of choices between smaller, immediate and larger, delayed rewards. The classic delay discounting task involved choices about money at delays of 1–90 days and only some of the outcomes were actually experienced by the participants. The novel real-time discounting task involved choices about an immediately consumable reward (playing a preferred game) at delays of 25–100 s, all of which were actually experienced by participants. Participants also provided subjective ratings of how much they liked playing the game and waiting to play. Girls with ADHD-C displayed greater delay discounting compared to boys with ADHD-C and TD girls and boys on the real-time discounting task. Diagnostic group differences were not evident on the classic discounting task. In addition, children with ADHD-C reported wanting to play the game more and liking waiting to play the game less than TD children. This novel demonstration of greater delay discounting among girls with ADHD-C on a discounting task in which the rewards are immediately consumable and the delays are experienced in real-time informs our understanding of sex differences and motivational processes in children with ADHD. (JINS, 2016, 22, 12–23)

Evaluation and utilization of preassembled frozen commercial fast real-time qPCR master mixes for detection of cytomegalovirus and BK virus

2015 ◽  
Vol 88 (1) ◽  
pp. 115-119 ◽  
Author(s):  
William A. Glover ◽  
Ederlyn E. Atienza ◽  
Shannon Nesbitt ◽  
Woo J. Kim ◽  
Jared Castor ◽  
...  
Keyword(s):  
Real Time ◽  
Bk Virus ◽  
Real Time Qpcr

Introducing MantisBot: Hexapod robot controlled by a high-fidelity, real-time neural simulation

2015 ◽  
Author(s):  
Nicholas S. Szczecinski ◽  
David M. Chrzanowski ◽  
David W. Cofer ◽  
Andrea S. Terrasi ◽  
David R. Moore ◽  
...  
Keyword(s):  
Real Time ◽  
High Fidelity ◽  
Hexapod Robot ◽  
Neural Simulation

MO332THE IRRADIATION-INDUCED RENAL ISCHEMIC PRECONDITIONING IS BLUNTED BY THE ORAL ADMINISTRATION OF THE ANTI-ANGIOGENIC AGENT, SUNITINIB

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Badr Khbouz ◽  
François Lallemand ◽  
Pascal Rowart ◽  
Laurence Poma ◽  
Agnès Noel ◽  
...  
Keyword(s):  
Signaling Pathways ◽  
Real Time ◽  
Ischemic Preconditioning ◽  
Functional Enrichment ◽  
Whole Body ◽  
Control Group ◽  
Mrna Levels ◽  
Wild Type ◽  
Post Irradiation ◽  
Real Time Qpcr

Abstract Background and Aims Whole-body irradiation has been suggested to induce renal ischemic preconditioning (RIP) in rodent models, possibly via neo-angiogenesis. First, we comprehensively investigate the pathways involved in kidney-centered irradiation. Next, we assess the functional and structural impact of kidney-centered irradiation applied before ischemia/reperfusion (I/R) injury. Finally, we test whether Sunitinib-mediated inhibition of the neo-angiogenesis prevents irradiation-associated RIP. Method Experiment 1: Unilateral irradiation of the left kidney (8.56 Gy) was performed in male 10-week-old wild-type C57bl/6 mice (n=10). One month later, total kidney RNA was extracted from irradiated and control (n=5) mice for comparative high-throughput RNA-Seq (using BaseSpace Sequence Hub Illumina). Functional enrichment analysis was performed using Database for Annotation, Visualization and Integrated Discovery (DAVID). Experiment 2: Two x-ray beams (225Kv, 13mA) specifically targeted both kidneys for a total dose of 8.56Gy. The right kidneys were removed and harvested, and the left kidneys undergo 30-minute ischemia followed by 48-hour reperfusion (n=8) at Days 7-14-21-28 post irradiation. Experiment 3: Following the same protocol of renal I/R at Day14, 3 groups of male 10-week-old wild-type C57bl/6 mice were compared (n=8 per group): 1/ bilateral pre-irradiation; 2/ bilateral pre-irradiation and gavage with Sunitinib from Day2 to Day13; 3/ control group without irradiation or gavage. Results Experiment 1: Comparative transcriptomics showed a significant up-regulation of various signaling pathways, including angiogenesis (HMOX1) and stress response (HSPA1A, HSPA1B). Expressions of angiogenesis markers (CD31, TGFb1, HMOX1) showed an increase at both mRNA (real-time qPCR) and protein (immuno-staining) levels in irradiated kidneys compared to controls (p<0.01). Experiment 2: Following I/R, the blood urea nitrogen (BUN) and serum creatinine (SCr) levels were significantly lower in the irradiated animals compared to controls: (BUN: 86.2±6.8 vs. 454.5±27.2mg/dl; SCr: 0.1±0.01 vs. 1.7±0.2mg/dl, p<0.01). The renal infiltration by CD11b-positive cells (187±32 vs. 477±20/mm²) and F4-80 macrophages (110±22 vs. 212±25/mm²) was significantly reduced in the irradiated group. The real-time qPCR mRNA levels of the angiogenic markers, TGFb1 and CD31, were significantly increased in the irradiated group compared to controls (p<0,01). The CD31-immunostating (quantified by FiJi) was increased in irradiated mice compared to controls (p<0.01). Experiment 3: One-way analysis of variance followed by Tukey’s test showed that, following I/R, the serum levels of BUN and SCr were lower in irradiated group compared to controls (BUN: 106.1±33.6 vs. 352.2±54.3mg/dl; SCr: 0.3±0.13 vs. 1±0.2mg/dl), and in irradiated group compared to the irradiated-exposed group to Sunitinib (BUN: 106.1±33.6 vs. 408.4±54.9mg/dl; SCr: 0.3±0.12 vs. 1.5±0.3mg/dl; p<0.01). No difference was observed between the irradiated-exposed mice to Sunitinib and the controls. Conclusion Renal irradiation induces the activation of signaling pathways involved in angiogenesis in mice. Renal pre-irradiation leads to RIP, with preserved renal function and attenuated inflammation post I/R. Exposure to the anti-angiogenic drug Sunitinib post-irradiation prevents the irradiation-induced RIP.

Dynamic Data-Driven Spatiotemporal System Behavior Prediction With Simulations and Sensor Measurement Data

2018 ◽  
Author(s):  
Xiangxue Zhao ◽  
Shapour Azarm ◽  
Balakumar Balachandran
Keyword(s):  
Dynamical System ◽  
Real Time ◽  
Measurement Data ◽  
Data Driven ◽  
Sensor Data ◽  
Model Parameters ◽  
High Fidelity ◽  
System Behavior ◽  
Sensor Measurement

Online prediction of dynamical system behavior based on a combination of simulation data and sensor measurement data has numerous applications. Examples include predicting safe flight configurations, forecasting storms and wildfire spread, estimating railway track and pipeline health conditions. In such applications, high-fidelity simulations may be used to accurately predict a system’s dynamical behavior offline (“non-real time”). However, due to the computational expense, these simulations have limited usage for online (“real-time”) prediction of a system’s behavior. To remedy this, one possible approach is to allocate a significant portion of the computational effort to obtain data through offline simulations. The obtained offline data can then be combined with online sensor measurements for online estimation of the system’s behavior with comparable accuracy as the off-line, high-fidelity simulation. The main contribution of this paper is in the construction of a fast data-driven spatiotemporal prediction framework that can be used to estimate general parametric dynamical system behavior. This is achieved through three steps. First, high-order singular value decomposition is applied to map high-dimensional offline simulation datasets into a subspace. Second, Gaussian processes are constructed to approximate model parameters in the subspace. Finally, reduced-order particle filtering is used to assimilate sparsely located sensor data to further improve the prediction. The effectiveness of the proposed approach is demonstrated through a case study. In this case study, aeroelastic response data obtained for an aircraft through simulations is integrated with measurement data obtained from a few sparsely located sensors. Through this case study, the authors show that along with dynamic enhancement of the state estimates, one can also realize a reduction in uncertainty of the estimates.

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